//import scala.math.random
//
///** Computes an approximation to pi */
//object SparkPi {
//  def main(args: Array[String]) {
//    println("in spark pi")
//    val spark = SparkUtils.sparkSession("Spark Pi")
//    println(s"spark master ${spark.sparkContext.master}")
//    val slices = if (args.length > 0) args(0).toInt else 2
//    val n = math.min(100000L * slices, Int.MaxValue).toInt // avoid overflow
//    val count = spark.sparkContext.parallelize(1 until n, slices).map { i =>
//      val x = random * 2 - 1
//      val y = random * 2 - 1
//      if (x * x + y * y <= 1) 1 else 0
//    }.reduce(_ + _)
//    println(s"Spark Pi is roughly ${4.0 * count / (n - 1)}!")
//    spark.stop()
//  }
//}
